Clustering and dendrogram
Sex seems to be the determinng factor in hierarchical clustering. Neither disease status nor ethnicity seem to be clustered in any meaningful manner. Also, one sample seems to have a mismatched ‘sex’ label.
Heatmap
Heatmap with the same clustering. Highly distant groups in rows are separated by sex.
PCA
Screeplot
It would take 119 principal components to capture 90% of variance in the data.
Pair plot
Sex by colors. Disease status by shape. The sample with a mismatched ‘sex’ label is visible here too.
PC Heatmap
The heatmap of principal component scroes doesn’t reveal much.
PC relation with metadata
Sex
Disease Status
Age
The lighter the point, the higher the age.
Ethnicity
